sleuth是spring cloud框架中,作为消息调用链追踪的组件,起配置相对简单,下面简单介绍一下sleuth的使用。
1,引入依赖
<dependencies>
<!--eureka-client-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
</dependency>
<!-- spring boot web-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- spring boot actuator-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!-- sleuth -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-sleuth</artifactId>
</dependency>
<!-- logback -->
<dependency>
<groupId>net.logstash.logback</groupId>
<artifactId>logstash-logback-encoder</artifactId>
<version>6.3</version>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-classic</artifactId>
<version>1.2.3</version>
</dependency>
<dependency>
<groupId>ch.qos.logback</groupId>
<artifactId>logback-core</artifactId>
<version>1.2.3</version>
</dependency>
<!-- zipkin -->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-zipkin</artifactId>
</dependency>
</dependencies>
2,配置文件
2.1,application.properties
spring.application.name=sleuth-traceA
server.port=62000
eureka.client.serviceUrl.defaultZone=http://localhost:20000/eureka/
logging.file=${spring.application.name}.log
#zipkin的地址
spring.zipkin.base-url=http://localhost:62100
#采样率
spring.sleuth.sampler.probability=1
info.app.name=sleuth-traceA
info.app.description=test
management.security.enabled=false
management.endpoints.web.exposure.include=*
management.endpoint.health.show-details=always
2.2,logback.xml
<?xml version="1.0" encoding="UTF-8"?>
<!--该日志将日志级别不同的log信息保存到不同的文件中 -->
<configuration>
<include resource="org/springframework/boot/logging/logback/defaults.xml" />
<springProperty scope="context" name="springAppName"
source="spring.application.name" />
<!-- 日志输出位置 -->
<property name="LOG_FILE" value="${BUILD_FOLDER:-build}/${springAppName}" />
<!-- 日志格式 -->
<property name="CONSOLE_LOG_PATTERN"
value="%clr(%d{HH:mm:ss.SSS}){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}}" />
<!-- 控制台输出 -->
<appender name="console" class="ch.qos.logback.core.ConsoleAppender">
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<level>INFO</level>
</filter>
<!-- 日志输出编码 -->
<encoder>
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
<charset>utf8</charset>
</encoder>
</appender>
<!-- Logstash -->
<!-- 为logstash输出的JSON格式的Appender -->
<appender name="logstash"
class="net.logstash.logback.appender.LogstashTcpSocketAppender">
<destination>127.0.0.1:5044</destination>
<!-- 日志输出编码 -->
<encoder
class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
<providers>
<timestamp>
<timeZone>UTC</timeZone>
</timestamp>
<pattern>
<pattern>
{
"severity": "%level",
"service": "${springAppName:-}",
"trace": "%X{X-B3-TraceId:-}",
"span": "%X{X-B3-SpanId:-}",
"exportable": "%X{X-Span-Export:-}",
"pid": "${PID:-}",
"thread": "%thread",
"class": "%logger{40}",
"rest": "%message"
}
</pattern>
</pattern>
</providers>
</encoder>
</appender>
<!-- 日志输出级别 -->
<root level="INFO">
<appender-ref ref="console" />
<appender-ref ref="logstash" />
</root>
</configuration>
当两个项目都进行了简单配置,并进行微服务之间的调用之后,就可以在项目的控制台中看到spanID,这个是微服务跨服务调用的一个证明。此外也可以搭建一套elk来通过UI来查找日志,更加方便。后面会介绍ELK的搭建。